Poetry in Motion: Sound Culture & Data Mining
Poetry, stories, and speeches aren’t just what we read or what we hear - they're how we make meaning and celebrate history. Hundreds of thousands of spoken text audio files - including poetry readings, American Indian stories, and presidential speeches - remain untapped in archives throughout the world. These digital artifacts hold our oral traditions, and projects like High Performance Sound Technologies for Analysis and Scholarship (HiPSTAS) out of the University of Texas’s School of Information feature original high performance data mining tools that help us visualize sound culture in ways we never imagined. How will these new audio technologies reshape the way we understand our words and ourselves?
Paul Vinelli is a graduate student in the School of Information at The University of Texas at Austin. Previously, he's served as a social media research analyst, nonprofit manager, and public radio director. He works as a Teaching Assistant at UT's Undergraduate Writing Center and will be interning as a Research Librarian at the National Baseball Hall of Fame in 2013.
Tanya Clement is an Assistant Professor in the School of Information at the University of Texas at Austin. She has a PhD in English Literature and Language and an MFA in fiction. Her primary area of research centers on scholarly information infrastructure as it impacts academic research, research libraries, and the creation of research tools and resources in the humanities. Her research is informed by theories of knowledge representation, information theory, mark-up theory, social text theory, and theories of information visualization.